output-style-engineering
Design Claude Code output styles: persona, tone, and behavioral rules that replace the default system prompt. Invoke whenever task involves any interaction with output styles — creating, editing, evaluating, or changing how Claude communicates.
What this skill does
# Output Style Engineering
Output styles replace Claude Code's system prompt, transforming the main agent's personality while retaining all tools
and capabilities.
<prerequisite>
**Output styles are system prompts.** Before creating or improving
an output style, invoke `prompt-engineering` to load instruction design techniques.
```
Skill(ai-helpers:prompt-engineering)
```
Skip only for trivial edits (typos, formatting).
</prerequisite>
## Route to Reference
- **File format, frontmatter, storage, activation** — [`${CLAUDE_SKILL_DIR}/references/spec.md`] Frontmatter field
details, replace-vs-preserve semantics, storage paths, activation methods, scope priority, session timing and
reminders, token impact, built-in styles catalog, feature comparison table, Agent SDK system prompt approaches (4
methods)
- **Creating a style from scratch** — [`${CLAUDE_SKILL_DIR}/references/creation.md`] Replace-not-augment principle,
creation methods (/output-style:new, manual, SDK), creation workflow, style pattern templates (direct professional,
domain specialist with non-coding use cases, interaction mode, learning/educational with voice-first design), token
impact, common failure modes
- **Evaluating style quality** — [`${CLAUDE_SKILL_DIR}/references/evaluation.md`] Scope appropriateness pre-check,
per-dimension scoring rubrics (1-10), weighted scoring formula, testing protocol (4 core + 3 persistence + 1 domain),
deployment readiness go/no-go, red flags
- **Style not working, needs refinement** — [`${CLAUDE_SKILL_DIR}/references/iteration.md`] Mechanism mismatch
diagnosis, diagnostic symptom→fix mapping with community evidence, refinement techniques (repetition, contrast,
consolidation), escalation patterns, rewrite vs iterate criteria
- **Real-world examples with analysis** — [`${CLAUDE_SKILL_DIR}/references/examples.md`] 5 complete styles with
dimensional scoring and improvement notes — includes non-coding examples (SaaS analyst, content strategist)
## What Output Styles Change
Output styles **replace** the default system prompt — they don't augment it.
**Replaced:**
- System prompt personality and domain assumptions
- Task prioritization and interaction patterns
- Response formatting and tone
- Coding instructions (unless `keep-coding-instructions: true`)
**Preserved (regardless of style):**
- All tools (Read, Write, Bash, Grep, etc.)
- CLAUDE.md project context system
- Subagent delegation and skills
- MCP integrations
- Environment context (working directory, git status)
**Key distinction from other features:**
- **Output style** — replaces the default system prompt; file on disk
- **CLAUDE.md** — added as user message after the system prompt; does not modify it
- **`--append-system-prompt`** — appends to system prompt without removing anything
- **Custom `systemPrompt` (SDK)** — full replacement in code; use for specialized agents
Output styles are the ONLY file-based way to change the main agent's core personality.
## `keep-coding-instructions`
Controls whether Claude retains its software engineering guidance.
- `false` (default) — removes coding workflow instructions. Use for non-coding domains (research, content, UX design)
- `true` — preserves safety, code quality, and test verification guidance. Use when the style is a personality overlay
for coding work (different tone, domain-specific conventions)
**Rule:** if the style is for someone who writes code, set `true`. If the style replaces coding with another domain, set
`false`.
## File Structure
```
~/.claude/output-styles/ # User-level (all projects)
my-style.md
.claude/output-styles/ # Project-level (this repo)
team-style.md
```
Filename becomes the style identifier (without `.md`). Activate with `/output-style style-name` or via settings.
Project-level styles shadow user-level styles with the same name.
Full format details, frontmatter fields, activation methods, Agent SDK integration: see
[`${CLAUDE_SKILL_DIR}/references/spec.md`].
## Writing Style Instructions
Output styles are system prompts. Five components determine quality:
### 1. Define Persona Clearly
The persona is the highest-leverage element. A vague persona produces inconsistent behavior; a clear one anchors every
response.
**Vague (fails):** "Be helpful and professional."
**Clear (works):** "You are a senior technical architect who communicates directly and values precision over
politeness."
The test: could two people reading this persona imagine the same character? If not, add specificity.
### 2. Specify Concrete Behaviors
Abstract instructions ("communicate clearly") get ignored. Concrete behaviors are testable and unambiguous.
```markdown
## Communication Rules
- Acknowledge valid points with "Correct" or "Valid point"
- State disagreements as "I see it differently because..."
- Never use "I'd be happy to" or "Great question"
- Open with the answer, not pleasantries
```
Each rule should be verifiable: you can check whether a response complies.
### 3. Include Tone Examples
Examples are the most reliable way to communicate expected behavior. Show contrast between default Claude and the target
style:
```markdown
## Tone Examples
User: "Can you help me with this code?"
Default Claude (avoid):
"Of course! I'd be happy to help you with your code.
Let me take a look at what you've got..."
This Style (use):
"Looking at the code now. Three issues:
1. [specific issue]..."
```
Include at least one contrast example. Cover interaction types most likely to trigger default behavior.
### 4. Specify Output Format
Without format guidance, response structure varies. Provide templates for common response types.
### 5. Add Consistency Safeguards
Styles drift mid-conversation. Explicit persistence language prevents reversion:
```markdown
## Consistency
Maintain this style throughout the entire conversation. Do not revert
to default patterns even if:
- The topic changes
- The user asks follow-up questions
- Multiple turns have passed
- The task becomes complex or frustrating
If uncertain, default to MORE adherence to this style, not less.
```
### Place Critical Rules at End
Instructions near the end of the prompt are followed more reliably. Place the rules you cannot afford to have ignored
last.
### Establish Priority Hierarchy
When a style has rules that could conflict, add an explicit priority order.
## Common Style Patterns
- **Direct Professional** — remove sycophancy, focus on substance. Set `keep-coding-instructions: true`.
- **Domain Specialist** — replace coding expertise with domain knowledge. Set `keep-coding-instructions: false`.
- **Interaction Mode** — change engagement style (voice-first, quiz, pair programming). Set `keep-coding-instructions`
based on whether the mode involves coding.
- **Learning/Educational** — collaborative mentoring with guided exercises. Set `keep-coding-instructions: true`.
Full templates for each pattern: see [`${CLAUDE_SKILL_DIR}/references/creation.md`]. Scored examples: see
[`${CLAUDE_SKILL_DIR}/references/examples.md`].
## Evaluating Style Quality
**First: verify scope appropriateness.** Before scoring dimensions, confirm the style needs to be an output style — not
CLAUDE.md, not `--append-system-prompt`, not a skill. If the style body could work identically as CLAUDE.md content, it
should not be a style.
Six dimensions, three weighted 2x (high-leverage):
- **Persona Clarity (2x)** — can you describe the persona in one sentence? Would two readers imagine the same character?
- **Behavioral Specificity (2x)** — is every rule verifiable? Are there concrete do/don't examples?
- **Example Quality (2x)** — do examples show contrast (default vs this style)? Do they cover key interaction types?
- **Output Format (1x)** — would Claude know exactly how to structure responses?
- **Consistency Safeguards (1x)** — are default behaviors explicitly forbidden with alternatives?
- **Scope (1x)** — is `keep-coding-instRelated in Design
contribute
IncludedLocal-only OSS contribution command center. Auto-refreshes the user's in-flight PR and issue state on invoke so conversations start with full context — no need to brief Claude on what's in flight. Helps the user find issues to contribute to on GitHub, builds per-repo dossiers of what each upstream expects (CLA, DCO, branch convention, AI policy, draft-first, review bots, issue templates), runs deterministic gates before any external action so AI-assisted contributions don't reach maintainers as slop. State is markdown-only: candidate files at ~/.contribute-system/candidates/, repo dossiers at ~/.contribute-system/research/, append-only event log at ~/.contribute-system/log.jsonl. No database, no cloud calls. Use when the user asks about their PRs / issues / contributions, wants to find new work to take on, claim an issue, build/refresh a repo's dossier, or draft a Design Issue or PR. Trigger with "/contribute", "what's my PR status", "find a contribution", "claim issue X", "draft a Design Issue for Y", "refresh dossier for Z".
architectural-analysis
IncludedUser-triggered deep architectural analysis of a codebase or scoped subtree across eight modes — information architecture, data flow, integration points, UI surfaces, interaction patterns, data model, control flow, and failure modes. This skill should be used when the user asks to "diagram this codebase," "map the architecture," "show the data flow," "give me an ERD," "trace control flow," "find the integration points," "verify the layout pattern," "audit the UX architecture," or any similar request whose primary deliverable is mermaid diagrams plus cited reports under docs/architecture/. Dispatches haiku/sonnet sub-agents in parallel for per-mode exploration, then verifies every citation mechanically before any node lands in a diagram. Not for one-off prose explanations of code (use code-explanation) or for high-level system design from scratch (use system-design).
mcp
IncludedModel Context Protocol (MCP) server development and tool management. Languages: Python, TypeScript. Capabilities: build MCP servers, integrate external APIs, discover/execute MCP tools, manage multi-server configs, design agent-centric tools. Actions: create, build, integrate, discover, execute, configure MCP servers/tools. Keywords: MCP, Model Context Protocol, MCP server, MCP tool, stdio transport, SSE transport, tool discovery, resource provider, prompt template, external API integration, Gemini CLI MCP, Claude MCP, agent tools, tool execution, server config. Use when: building MCP servers, integrating external APIs as MCP tools, discovering available MCP tools, executing MCP capabilities, configuring multi-server setups, designing tools for AI agents.
react-native-skia
IncludedDesign, build, debug, and optimise high-polish animated graphics in React Native or Expo using @shopify/react-native-skia, Reanimated, and Gesture Handler. Use when the user wants canvas-driven UI, shaders, paths, rich text, image filters, sprite fields, Skottie, video frames, snapshots, web CanvasKit setup, or performance tuning for custom motion-heavy elements such as loaders, hero art, cards, charts, progress indicators, particle systems, or gesture-driven surfaces. Also use when the user asks for fluid, glow, glass, blob, parallax, 60fps/120fps, or GPU-friendly animated effects in React Native, even if they do not explicitly say "Skia". Do not use for ordinary form/layout work with standard views.
plaid
IncludedProduct Led AI Development — guides founders from idea to launched product. Six capabilities: Idea (discover a product idea), Validate (pressure-test the idea against fatal flaws, problem reality, competition, and 2-week MVP feasibility), Plan (vision intake + document generation), Design (translate image references into a design.md spec), Launch (go-to-market strategy), and Build (roadmap execution). Use when someone says "PLAID", "plaid idea", "help me find an idea", "product idea", "idea from my business", "idea from my expertise", "plaid validate", "validate my idea", "pressure-test", "is this idea good", "find fatal flaws", "validate the problem", "plan a product", "define my vision", "generate a PRD", "product strategy", "plaid design", "design from image", "translate image to design", "create design.md", "extract design tokens", "plaid launch", "go-to-market", "launch plan", "GTM strategy", "launch playbook", "plaid build", "build the app", "start building", or "execute the roadmap".
nextjs-framer-motion-animations
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